Volodymyr Melnykov

Artificial Intelligence · 2010–2014

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #14,790 of 35,345 by trust here, #29,412 by citations
• Statistics and Probability — 14 citations into it; #6,706 of 12,932 by trust here, #10,855 by citations

Whom Volodymyr Melnykov trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey J. McLachlan
2. P. Deb
3. Surajit Ray
4. Jakob Verbeek
5. Christophe Biernacki
6. Chris Fraley
7. Wei Pan
8. Jacob Goldberger
9. Sugato Basu
10. Adrian E. Raftery

Who trusts Volodymyr Melnykov overall

1. Alexander Rainer Tassilo Gepperth
2. Kate
3. Benedikt Pfülb
4. Pasi Fränti
5. Sprogis
6. Surajit Ray
7. Sami Sieranoja
8. Holly

Papers from Volodymyr Melnykov's perspective

Ordered by how strongly the researchers Volodymyr Melnykov trusts endorse each paper. Same corpus, a different order for every researcher.

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
2. Estimating the Dimension of a Model
3. Information Theory and an Extension of the Maximum Likelihood Principle
4. ImageNet classification with deep convolutional neural networks
5. Mixture models : inference and applications to clustering
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. The EM algorithm and extensions
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Learning Multiple Layers of Features from Tiny Images
10. Gradient-based learning applied to document recognition

Their papers

• Finite mixture models and model-based clustering (2010) — 289 citations
• On K-means algorithm with the use of Mahalanobis distances (2014) — 70 citations